Cash App Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.

Typical time on-site: Flexible

Global Office Locations

Kitchener

Where engineers roam free. One of the world's foremost engineering hubs. Kitchener-Waterloo is home to our very first Engineering team. Also skating, curling, and some notorious barbecues.

Toronto

The Big Smoke. The Six. Home of Drake. The Toronto space is a hub for Machine Learning and Engineering, a sponsor of community events, and a community of plant lovers.

Recently posted jobs

5 Days AgoSaved
Remote or Hybrid
8 Locations
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.
6 Days AgoSaved
Remote or Hybrid
8 Locations
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Own complex Banking design initiatives end to end, creating zero-to-one financial product experiences and improving existing products. Set the design quality bar, shape product vision and strategy, prototype with AI and emerging tools, and translate financial and regulatory complexity into clear experiences. Partner with Product, Engineering, Risk, Compliance, and Research while extending design systems and mentoring designers through critique, feedback, and hands-on example.
12 Days AgoSaved
Remote or Hybrid
8 Locations
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.